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Journal articles on the topic 'ELECTRICALS SIGNALS'

Author: Grafiati

Published: 11 September 2023

Last updated: 31 July 2025

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1

Klyuchko, O. M., and P. V. Beloshitsky. "Biosensor concept and data input to biomedical infornation systems." Medical Informatics and Engineering, no. 3 (June 10, 2021): 51–69. http://dx.doi.org/10.11603/mie.1996-1960.2020.3.11698.

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Background. In present publication we generalized and analyzed deeply the experience of some biosensors studying in biophysical experiments with aim to incorporate them further to electronic information systems. Output biosensor electrical signals were input ones to electronic information system making their connection into joined bioinformation system. Materials and methods. Methods of comparative analysis of the characteristics of input and output electrical information signals of biosensor were applied; its physical and mathematical models were developed. For biosensor properties studies th

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He, Fei, Jiabei Shen, Zhi Tang, Xiaomeiao Qi, and Haoran Li. "Influencing Factors of Rock Electrical Signal Analysis Based on Artificial Intelligence." Mobile Information Systems 2021 (October 21, 2021): 1–9. http://dx.doi.org/10.1155/2021/1165686.

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To get the generation mechanism and influence factors of the coal-rock electrical signal, it provides a reference for coal-rock electric signal prediction and dynamic disaster. Firstly, the law of charge energy relation is deduced by using the universal or functional relation of Newton’s law, and then coal and rock mass with different properties such as coal, granite, and sandstone are selected. Using the established test system, the influence of coal and rock electric signal is analyzed from the coal-rock temperature, coal and rock properties, coal-rock friction, coal-rock loading speed, and

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Cai, Weiming, and Qingke Qi. "Study on Electrophysiological Signal Monitoring of Plant under Stress Based on Integrated Op-Amps and Patch Electrode." Journal of Electrical and Computer Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/4182546.

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Electrophysiological signal in plant is a weak electrical signal, which can fluctuate with the change of environment. An amplification detection system was designed for plant electrical signal acquisition by using integrated op-amps (CA3140, AD620, and INA118), patch electrode, data acquisition card (NI USB-6008), computer, and shielded box. Plant electrical signals were also studied under pressure and flooding stress. The amplification detection system can make nondestructive acquisition for Aquatic Scindapsus and Guaibcn with high precision, high sensitivity, low power consumption, high comm

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Zhang, Hong, Xinxin Lu, and Xiuye Yin. "Reverse Synchronous Transmission of Electrical Signals Based on Parallel Injection and Series Pickup." Traitement du Signal 37, no. 4 (2020): 655–60. http://dx.doi.org/10.18280/ts.370415.

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To eliminate the interference with the transmission of electrical signals, this paper puts forward a reverse synchronous transmission (RST) control method based on parallel injection and series pickup. Firstly, the synchronous transmission mechanism of electrical signals was analyzed, followed by the design of the framework and workflow of signal transmission. Next, an RST channel model was established for electrical signals, and the transmission parameters were configured based on the transmission properties of these signals. Through alternative current (AC) impedance analysis, the Laplace tr

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Carneiro, Mirella, Victor Oliveira, Fernanda Oliveira, Marco Teixeira, and Milena Pinto. "Simulation Analysis of Signal Conditioning Circuits for Plants’ Electrical Signals." Technologies 10, no. 6 (2022): 121. http://dx.doi.org/10.3390/technologies10060121.

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Electrical signals are generated and transmitted through plants in response to stimuli caused by external environment factors, such as touching, luminosity, and leaf burning. By analyzing a specific plant’s electrical responses, it is possible to interpret the impact of external aspects in the plasma membrane potential and, thus, determine the cause of the electrical signal. Moreover, these signals permit the whole plant structure to be informed almost instantaneously. This work presents a brief discussion of plants electrophysiology theory and low-cost signal conditioning circuits, which are

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Granados-Ruiz, Jackeline, David Asael Gutiérrez-Hernández, Carlos Lino-Ramírez, et al. "METHODOLOGICAL APPROACH FOR EXTRACTION OF CHARACTERISTICS OF BIOLOGICAL SIGNALS." COMPUSOFT: An International Journal of Advanced Computer Technology 08, no. 02 (2019): 3011–20. https://doi.org/10.5281/zenodo.14811307.

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Generally, signal processing is applied to a set of data that is derived from the sampling of an acquired signal. This treatment is carried out with the help of a computer that in turn executes a series of logical and mathematical operations. The treatment of signals is linked to other techniques and scientific disciplines. Some of the applications of the signal treatments may be in the form of processing of audio signals, treatment of digital images, digital communications and biological signals. In this case, the treatment was applied to biological signals such as ECG (Electrocardiogram sign

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Li, Chang Cheng, Lai Wu Yin, Dong Chen, and Shu Jie Xu. "Lossless Compression of Weak Electrical Signal of Ginseng Molecule Based on Discrete Wavelet Transform and Siesta Program." Advanced Materials Research 986-987 (July 2014): 1950–53. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1950.

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This paper proposed the electron density of time series by using the Siesta software to calculate the weak electrical signals of ginseng molecule, combining with the lifting scheme DWT to remove ginseng molecular spatial redundancy. For the acquisition and identification of weak electrical signals of ginseng molecule in physical environment , based on the analysis of collection and identification’s principles, the noise coefficient is removed to reconstruct the signal and retain the useful signal components through applying the multi-decomposition of DWT transform to divide weak electrical sig

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Wang, Hanbo. "Compressed Sensing: Theory and Applications." Journal of Physics: Conference Series 2419, no. 1 (2023): 012042. http://dx.doi.org/10.1088/1742-6596/2419/1/012042.

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Abstract Compressed sensing is a new technique for solving underdetermined linear systems. Because of its good performance, it has been widely used in academia. It is applied in electrical engineering to recover sparse signals, especially in signal processing. This technique exploits the signal’s sparse nature, allowing the original signals to recover from fewer samples. This paper discusses the fundamentals of compressed sensing theory, the research progress in compressed sensing signal processing, and the applications of compressed sensing theory in nuclear magnetic resonance imaging and sei

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Zhuang, Qiu Hui, Guo Jun Liu, Xiu Hua Fu, and San Qiang Wang. "Brain Electrical Signal Digital Processing System Design." Applied Mechanics and Materials 278-280 (January 2013): 958–61. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.958.

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Through the amplification system to extract the brain electrical signal, although already can be displayed, but is not clear; in addition, the analog signal into the computer to carry on the analysis, also must pass to convert analog signals to digital signals (A/D converter).Therefore the need for further use of digital processing, this paper adopts the digital way, on brain electrical analog signal digital filter, through the 40Hz low-pass filter and 50Hz filter, get clear, stable signal, to achieve the design objective.

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Meng, Jingfei, Weiming Cai, Siyi Ou, Jian Zhao, Shengli Fan, and Bicong Zheng. "Research on the Signal Noise Reduction Method of Fish Electrophysiological Behavior Based on CEEMDAN with Improved Wavelet Thresholding." Electronics 12, no. 23 (2023): 4861. http://dx.doi.org/10.3390/electronics12234861.

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Electrophysiological signals are one of the key ways that fish convey information and govern movement. Changes in physiological electrical signals may indirectly reflect changes in fish sensory thresholds and locomotor behavior. The acquisition of physiological electrical signals in fish is more susceptible than in mammals to the effects of surface mucus and water noise, thereby reducing signal quality. In this study, a noise reduction method for electrophysiological behavioral signals in fish was proposed, namely the decomposition of the original EMG signal into multiple intrinsic mode compon

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Saatci, Ertugrul, and Esra Saatci. "Multifractal Behaviour of Respiratory Signals." Electrica 20, no. 2 (2020): 182–88. http://dx.doi.org/10.5152/electrica.2020.20011.

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Shi, Qiong, JingCi Zhou, JianPing Xiang, and YangChun Shi. "Research on multi-fault diagnosis method and test platform of main transmission Machinery of wind Turbine based on electrical signal." Journal of Physics: Conference Series 2268, no. 1 (2022): 012011. http://dx.doi.org/10.1088/1742-6596/2268/1/012011.

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Abstract An optimised design was carried out based on the original semi-physical simulation system for the main drive chain of a wind turbine. The input of upper computer simulating wind condition, the safety control of electrical signal and vibration signal acquisition module, relay and AC contactor and dual motor control were added. Simultaneously, the simulation schemes of some common faults on the main drive of wind turbines were also designed in order to perform the experimental simulation of the single fault and multi fault. The primary purpose of simulation is to use practical approache

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Tian, Yonghui, Huifu Xiao, Xiaosuo Wu, et al. "Experimental realization of an optical digital comparator using silicon microring resonators." Nanophotonics 7, no. 3 (2018): 669–75. http://dx.doi.org/10.1515/nanoph-2017-0073.

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AbstractWe propose and experimentally demonstrate a silicon photonic circuit that can perform the comparison operation of two-bit digital signals based on microring resonators (MRRs). Two binary electrical signals regarded as two operands of desired comparison digital signals are applied to three MRRs to modulate their resonances through the microheaters fabricated on the top of MRRs, respectively (here, one binary electrical signal is applied to two MRRs by a 1×2 electrical power splitter, which means that the two MRRs are modulated by the same binary electrical signal). The comparison result

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Duan, Li, Jianxian Cai, Juan Liang, Danqi Chen, and Xiaoye Sun. "Identification and Analysis of Non-Stationary Time Series Signals Based on Data Preprocessing and Deep Learning." Traitement du Signal 39, no. 5 (2022): 1703–9. http://dx.doi.org/10.18280/ts.390528.

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Deep learning is not the most accurate way for recognizing time series signals, and it is unable to identify non-stationary time series signals with numerous chaotic classes. Moreover, the signal detection benefits from data preprocessing have gone unnoticed. Therefore, this paper investigates the detection and analysis of non-stationary time series signals using deep learning and data preprocessing. The fitting model of the historical stationarity index is built based on the Gaussian mixture model of single Gaussian models, and the change point of the non-stationary time series signal is dete

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Chatterjee, Shre Kumar, Saptarshi Das, Koushik Maharatna, et al. "Exploring strategies for classification of external stimuli using statistical features of the plant electrical response." Journal of The Royal Society Interface 12, no. 104 (2015): 20141225. http://dx.doi.org/10.1098/rsif.2014.1225.

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Plants sense their environment by producing electrical signals which in essence represent changes in underlying physiological processes. These electrical signals, when monitored, show both stochastic and deterministic dynamics. In this paper, we compute 11 statistical features from the raw non-stationary plant electrical signal time series to classify the stimulus applied (causing the electrical signal). By using different discriminant analysis-based classification techniques, we successfully establish that there is enough information in the raw electrical signal to classify the stimuli. In th

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Anjali, Vivek, and Preetha Parakkatu Kesava Panikker. "Investigation of the Effect of Diverse Dictionaries and Sparse Decomposition Techniques for Power Quality Disturbances." Energies 17, no. 23 (2024): 6152. https://doi.org/10.3390/en17236152.

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The quality of power signals is strongly influenced by nonlinear loads in Electrical Power systems. Representation of electrical signals using different Sparse techniques is an interesting area of research as it moderates the volume of data to be stored. The storage of signals in Sparse form will make data storage easier and more efficient. Earlier studies concentrated on blindly choosing Overcomplete Hybrid Dictionaries (OHDs) for Sparse representation. The effect of different dictionaries in representing electrical signals has also not been reviewed in them. This paper presents an investigat

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Marzaki, Abderrezak, V. Bidal, R. Laffont, et al. "On the Investigation of a Novel Dual-Control-Gate Floating Gate Transistor for VCO Applications." Bulletin of Electrical Engineering and Informatics 2, no. 3 (2013): 212–17. http://dx.doi.org/10.11591/eei.v2i3.206.

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A new MOS device called Dual-Control Gate Floating Gate Transistor (DCG-FGT) is used as a building block in analog design. This device offers new approaches in circuit design and allows developing new functionalities through two operating modes: Threshold Voltage Adjustable Mode, where the DCG-FGT behaves like a MOS transistor with an electrically adjustable threshold voltage. Mixer Signal Mode where the DCG-FGT can mix two independent signals on its floating gate. This device is developed to be fully compliant with CMOS Non Volatile Memory (NVM) process. An electrical model of the DCG-FGT has

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18

Sholihah, Ratih Mar'atus, Fahrul Fahrul, Adhika Kurniawan, and Irwan Mahmudi. "Implementation of modified trapezoidal commutation scheme for speed control of 1 kW BLDC motor." Journal of Mechatronics, Electrical Power, and Vehicular Technology 14, no. 2 (2023): 127–37. http://dx.doi.org/10.14203/j.mev.2023.v14.127-137.

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The commutation process in brushless DC (BLDC) motors is done electrically and depends on the rotor position feedback. The Six-Step method is the most commonly used method in BLDC control, as it is easy to implement. However, this method has a high root mean square (RMS) current. On the other hand, a perfect sinusoidal commutation method is very complicated. Therefore, this research proposes a simple modified scheme of trapezoidal commutation circuits that can produce sinusoidal BLDC output voltage. This circuit can still responsively control the speed of the BLDC motor. This scheme uses 2 Ard

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Ma, Xiao, and Hoi Wai Choi. "Observation of ground loop signals in GaN monolithically integrated devices." Journal of Vacuum Science & Technology B 41, no. 1 (2023): 012207. http://dx.doi.org/10.1116/6.0002245.

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The observation of ground loop signals in nonelectrically isolated GaN monolithic systems has prompted an investigation on its origins. The study is carried out with devices comprising monolithic light-emitting diodes (LED) and photodetectors (PD) that are either electrically isolated by completely etching through the GaN epitaxial layers, or nonelectrically isolated devices where the etch terminates at the n-GaN layer, through TCAD simulations and experiments. While the devices behave identically to DC input signals, a signal can be observed across the PD of the nonelectrically isolated devic

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20

Song, Ning, Lian Ying Ji, and Yong Peng Xu. "Denoising of the Respiratory Signal of Electrical Bio-Impedance." Advanced Materials Research 718-720 (July 2013): 1024–28. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1024.

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Human respiratory signal provides important information in modern medical care. In daily life, respiratory signal is usually captured under different motion states with the help of Electrical impedance pneumography (EIP). Consequently, the captured signal is easily corrupted by electronic/electromagnetic noise, internal mechanical vibration of the lung and motion artifacts. Because respiratory signal and interferences co-exist in an overlapping spectra manner, classical filtering method cannot work here. In this paper, we present a new signal processing method for eliminating the noise and int

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Rapp, Bastian E., Achim Voigt, Marian Dirschka, Michael Rapp, and Kerstin Länge. "Surface Acoustic Wave Resonator Chip Setup for the Elimination of Interfering Conductivity Responses." Micromachines 15, no. 4 (2024): 501. http://dx.doi.org/10.3390/mi15040501.

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A surface acoustic wave (SAW) resonator chip setup is presented that eliminates interfering signal responses caused by changes in the electrical environment of the surrounding media. When using a two-port resonator, applying electrically shielding layers between the interdigital transducers (IDTs) can be challenging due to the limited dimensions. Therefore, a layered setup consisting of an insulating polymer layer and a conductive gold layer was preferred. The SAW resonators were provided with polycarbonate housings, resulting in SAW resonator chips. This setup enables easy application of a wi

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Bychkov, Anatoly V., Irina Yu Bychkova, Nadezhda N. Suslova, and Kurbangali K. Alimov. "NEURAL NET USING TO DETERMINE DEPTH AND FREQUENCY OF SIGNALS’ MODULATION FOR ELECTRICAL EQUIPMENT ULTRASONIC VIBROCONTROL." Vestnik Chuvashskogo universiteta, no. 3 (September 29, 2021): 21–30. http://dx.doi.org/10.47026/1810-1909-2021-3-21-30.

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The apparatus of artificial neural networks (ANN) is proposed to be used for signal processing in active ultrasonic (US) vibration control of electrical equipment. A feature of the applied neural network algorithm is that the required information about vibration parameters is embedded in the ultrasound signal’s phase change at its constant amplitude. Under these conditions, traditional spectral analysis of signals requires a high sampling rate and a significant recording duration. When using the direct propagation’s ANN with three hidden layers, it was shown that it is sufficient to use a samp

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Pollard, Brian J. "Electrical signals." Current Anaesthesia & Critical Care 9, no. 3 (1998): 105. http://dx.doi.org/10.1016/s0953-7112(98)80001-x.

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Le, Thi-Thu-Huong, and Howon Kim. "Non-Intrusive Load Monitoring Based on Novel Transient Signal in Household Appliances with Low Sampling Rate." Energies 11, no. 12 (2018): 3409. http://dx.doi.org/10.3390/en11123409.

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Nowadays climate change problems have been more and more concerns and urgent in the real world. Especially, the energy power consumption monitoring is a considerate trend having positive effects in decreasing affecting climate change. Non-Intrusive Load Monitoring (NILM) is the best economic solution to solve the electrical consumption monitoring issue. NILM captures the electrical signals from the aggregate energy consumption, feature extraction from these signals and then learning and predicting the switch ON/OFF of appliances used these feature extracted. This paper proposed a NILM framewor

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Zhou, Lifu, Guoxing Wu, Zhenhua He, Qingmeng Zheng, Ruichao Zhu, and Tianyong Zhong. "Real-time monitoring method for power system voltage based on optical voltage sensors." Journal of Physics: Conference Series 2785, no. 1 (2024): 012066. http://dx.doi.org/10.1088/1742-6596/2785/1/012066.

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Abstract A real-time monitoring method for power system voltage based on optical voltage sensors is proposed to obtain transient voltage signals and achieve real-time tracking of instantaneous changes in electrical parameters of the power system accurately and effectively. Analyzing the topology principle of power system transformers clarifies the installation location of optical voltage sensors. By combining the measurement principle of optical voltage sensors, the electrical, optical modulation, and optical-electrical conversion of voltage signals are achieved, and the voltage signal of the

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Wang, Ling Ling, Hong Xia Luo, Jian Hua Cao, Kun Lu, Ji Hua Fang, and Shuai Chen. "The Test and Time-Frequency Domain Analysis on Plant Electrical Signal Based on Virtual Instrument." Applied Mechanics and Materials 738-739 (March 2015): 686–89. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.686.

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We tried to obtain numbers of the plant electrical signal with the help of experiments. We made comprehensive treatment and analysis by using the time domain analysis method and frequency domain analysis method to the large numbers of data of the plant electrical signal. The experiment finds that that the plant electrical signal is a kind of low frequency,tiny and fairly stable signal. The features of plant electrical signals remarkably responsive to external stimuli. The measuring precision is limited in the test, so the conclusion only can be mined and used for for future research.

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Konovalov, S. I., R. S. Konovalov, V. M. Tsaplev, and D. I. Polosukhina. "Study of the Pulsed Operating Mode of the Piezoelectric Transducer of an Immersion Flaw Detector." LETI Transactions on Electrical Engineering & Computer Science 17, no. 5 (2024): 32–39. http://dx.doi.org/10.32603/2071-8985-2024-17-5-32-39.

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Purpose of the work: To evaluate the influence of the shape of a complex electrical signal at the input of a piezoelectric transducer on the duration of the acoustic signal emitted by it. Materials and methods: Theoretical modeling using the d'Alembert method for a one-sided loaded piezoelectric plate was used. Results: The dynamics of changes in the probing signal depending on the moment of supply of a correctly formed compensating half-cycle has been studied. A comparison was made of the shapes of the probing signals for the cases of the presence and absence of a damper on the back side of t

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Xu, Liuzhu, Di Peng, Yuwen Qin, et al. "Image-Rejected Multi-Band Frequency Down-Conversion Based on Photonic Sampling." Photonics 10, no. 1 (2022): 35. http://dx.doi.org/10.3390/photonics10010035.

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An image-rejected multi-band frequency down-conversion scheme is proposed and experimentally demonstrated based on photonic sampling. The multi-band radio-frequency (RF) signals to be processed are copied into two replicas in quadrature, which are then sampled by an ultra-short optical pulse train via a polarization-multiplexed modulator. After polarization demultiplexing and detection using a pair of low-speed photodetectors, the multi-band RF signals are simultaneously down-converted to the intermediate frequency (IF) band. The image components can be suppressed by quadrature coupling the tw

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Olha, Yeroshenko, and Prasol Igor. "Simulation of the electrical signal of the muscles to obtain the electromiosignal spectrum." Technology audit and production reserves 2, no. 2(64) (2022): 38–43. https://doi.org/10.15587/2706-5448.2022.254566.

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<em>The object of research is the process of skeletal muscle contraction under the influence of natural electrical impulses of the nervous system or under the conditions of external electrical stimulation. The subject of research is models that describe electrical processes in muscles during contraction. The work is aimed at building an analytical model of the skeletal muscle electrical signal, which makes it possible to calculate the spectral density of this signal for further analysis.</em> <em>Research methods are methods of mathematical modeling, theory of random processes and signals, met

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Liang, Chunhui, Chao Ding, Jinfa Li, and Xiaoyang Zuo. "Research on State Detection Method of Electrical Equipment Based on Wireless Sensor Network Signal Processing." Traitement du Signal 39, no. 6 (2022): 2237–45. http://dx.doi.org/10.18280/ts.390640.

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False alarms and omissions of key measurement signals may even affect the reliability of decision-making in power IoT system, lead to safety accidents and bring huge economic losses. In order to improve the reliability of system operation and the information management level of electrical equipment, it is necessary to identify and extract suddenly changed signals from massive measurement signals collected by wireless sensor networks, and to detect the working state of electrical equipment by judging the source of signals. Therefore, this article studies the state detection method of electrical

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Narvekar, Sonal, and Kadambari Sharma. "Precision Design and Fabrication of Noise-free High-Frequency Amplifier Board for Enhanced Signal Processing." ITM Web of Conferences 57 (2023): 02004. http://dx.doi.org/10.1051/itmconf/20235702004.

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An optical signal processing system is widely used for long-distance signal transmission with high speed and low attenuation. It plays a fundamental role in optical communication systems that involves transmitting, receiving, amplifying, and manipulating optical signals which are high-frequency signals. This paper portrays the design of a high-frequency amplifier to amplify the low-amplitude high-frequency, electrical signal procured from the optical signal. A four-stage high frequency amplifier has been designed using an AD8009 high-frequency Op-amp for the highest frequency of 1GHz, and for

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Mohan, Manju, N. Seenu, Shyam R Nair, and U. P. Vignesh. "Design of an On-Chip Tracking ADC." International Journal of Engineering & Technology 7, no. 4.36 (2018): 258–60. http://dx.doi.org/10.14419/ijet.v7i4.36.23784.

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Data acquisition and conversion systems require analog signals to be converted into a digital form that can be used for further analysis. The analog signals are mostly output of sensors and transducers which transform the real-world signals into electrical signals. These electrical signals are modified to digital form by using Analog to Digital Converters (ADC). This conversion involves sampling followed by a quantizationÂ of the input signal thus will be converted to digital signal. The bandwidth of the ADC is restricted by the sampling rate and the quantization error should be kept as low as

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Gong, Jing. "Wavelet detection method for transient electrical energy disturbance with noise." Journal of Physics: Conference Series 2903, no. 1 (2024): 012011. https://doi.org/10.1088/1742-6596/2903/1/012011.

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Abstract Electric energy signals are often contaminated by noise during the collection process, which affects the accurate positioning of disturbances. The discontinuity of traditional hard threshold functions can lead to oscillations, while excessive smoothness of soft threshold functions can lead to signal distortion. The optimized threshold function and scale adaptive processing on the selection of the threshold are proposed. The wavelet thresholding method is used to process voltage sag, rise, and interrupt signals containing noise. The denoised signal is decomposed into five scale wavelet

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Niakan, Tara, Zarel Valdez-Nava, and David Malec. "An Electrical Method to Detect Both Crack Creation and Propagation in Solid Electrical Insulators." Materials 18, no. 1 (2024): 24. https://doi.org/10.3390/ma18010024.

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Fracto-emission is the ejection of electrons and positive ions from matter undergoing a mechanical fracture. The creation and propagation of fractures in insulating material can generate an electrical signal that can be detected using a sufficiently fast signal recorder. The theoretical equations related to crack creation/propagation that induce an externally electric signal are detailed for two conditions: with and without an external applied electric voltage. Results from an experiment with no externally applied voltage are presented for fibreglass-reinforced epoxy laminate samples, in which

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Balazs, Peter, Christian Kasess, Wolfgang Kreuzer, Thomas Maly, Zdeněk Průša, and Florent Jaillet. "Anwendung von Rahmen-Multiplikatoren für die Extraktion von Kurvenquietschen von Zugsaufnahmen." e & i Elektrotechnik und Informationstechnik 138, no. 3 (2021): 206–11. http://dx.doi.org/10.1007/s00502-021-00880-7.

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ZusammenfassungFür viele Anwendungen in der Akustik ist es notwendig, Signale und Funktionen mithilfe von zeitvarianten Filtern zu bearbeiten, z. B. um Komponenten aus einem Signal zu entfernen, deren Frequenzverlauf sich über die Zeit ändert. Es wird eine Methode vorgestellt, die auf einer Darstellung des Signals durch Rahmen (engl. Frames) basiert, und mit deren Hilfe Filter auf der Zeit-Frequenz-Ebene definiert werden können. Nach einer kurzen Beschreibung des theoretischen Hintergrunds von Rahmen wird ihre Anwendung anhand eines Beispiels aus der Lärmforschung erläutert. Mithilfe einer ein

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Durka, P. J., J. Z. ygierewicz, and K. J. Blinowska. "Time-Frequency Analysis of Brain Electrical Activity – Adaptive Approximations." Methods of Information in Medicine 43, no. 01 (2004): 70–73. http://dx.doi.org/10.1055/s-0038-1633838.

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Summary Objectives: We present an approach to time-frequency analysis of bioelectrical signals. Methods: The method relays on the decomposition of the signal into a set of waveforms that have good localization both in time and in frequency. The waveforms belong to a highly redundant set of functions – allowing for a very accurate description of signal components. Results: Properties of the method are illustrated by simulations and applications to EEG. Conclusion: The presented method delivers a common formalism suitable for describing both gross statistical properties of structures present in

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Uysal, Can, and Tansu Filik. "MUSIC Algorithm for Respiratory Rate Estimation Using RF Signals." Electrica 18, no. 2 (2018): 300–309. http://dx.doi.org/10.26650/electrica.2018.03405.

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Ding, Jin Li, and Lan Zhou Wang. "Forecast and Processing of Weak Electrical Signals in Clivia miniata by RBF Neural Networks." Advanced Materials Research 216 (March 2011): 388–92. http://dx.doi.org/10.4028/www.scientific.net/amr.216.388.

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Original weak electrical signals in Clivia miniata were tested by a touching test system of self-made double shields with platinum sensors. Tested data of electrical signals denoised by the wavelet soft threshold and using Gaussian radial base function (RBF) as the time series at a delayed input window chosen at 50. An intelligent RBF forecasting system was set up to forecast the signal in plants. Testing result shows that it is feasible to forecast the plant electrical signal for a short period. The forecast data can be used as an important preferences for the intelligent automatic control sy

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KOROVKIN, Nikolay V., and St S. GRITSUTENKO. "Introduction of the Low-Entropy Signal Concept." Elektrichestvo 10, no. 10 (2020): 33–43. http://dx.doi.org/10.24160/0013-5380-2020-10-33-43.

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The article introduces the concept of a low-entropy signal as a time dependence that has a small variability coefficient. A high-entropy radio signal and a low-entropy electrical signal are compared. It is determined as a result of modeling that the variability coefficient of the electrical signal is 100 or more times smaller than the radio signal variability coefficient; therefore, this indicator is selected as a criterion for discrimination of electrical and radio signals. A conclusion is drawn about the need to improve the mathematical techniques for digital processing of signals for analyz

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Rajani, A., and V. Sandeep. "A Novel method of QRS Detection Using Adaptive Multilevel Thresholding with Statistical False Peak Elimination." International Journal for Research in Applied Science and Engineering Technology 10, no. 9 (2022): 1406–13. http://dx.doi.org/10.22214/ijraset.2022.46848.

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Abstract: Heart is the vital organ of a Human Body, because of its involvement in various works and processes in the entire body such as blood pumping etc., so recording a heart function is also a great thing, it is done through ECG signals. ECG signal records the electrical signals and activity of a Human Heart based on the electrical signals released by the Heart. ECG signal consists of PQRST waves, which are the reference points on an ECG signal. But, recording them is much easy than extracting and analyzing them, so, as to extract them, we are applying an advanced adaptive multi-level thre

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Pan, Qing-Xin, Yang Li, Nan Wang, Peng-Fei Zhao, Lan Huang, and Zhong-Yi Wang. "Variational Mode Decomposition-based Synchronous Multi-Frequency Electrical Impedance Tomography." Information Technology and Control 51, no. 3 (2022): 446–66. http://dx.doi.org/10.5755/j01.itc.51.3.30014.

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Electrical Impedance Tomography (EIT) can perform non-invasive, low-cost, safe, fast, and simple system structure and functional imaging to map the distribution and changes of root zone. Multi frequency EIT solves the problem that single-frequency EIT can only carry more impedance information than a given single excitation frequency. It still remains challenges to simultaneously obtain multi-frequency electrical impedance tomography. To address the problem, a mixed signal superimposed by multiple frequencies is injected to the object. Essentially, separating the measured mixed voltage signals,

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Huang, Zhongwei, Lifen Cheng, and Yang Liu. "Key Feature Extraction Method of Electroencephalogram Signal by Independent Component Analysis for Athlete Selection and Training." Computational Intelligence and Neuroscience 2022 (April 15, 2022): 1–9. http://dx.doi.org/10.1155/2022/6752067.

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Emotion is an important expression generated by human beings to external stimuli in the process of interaction with the external environment. It affects all aspects of our lives all the time. Accurate identification of human emotional states and further application in artificial intelligence can better improve and assist human life. Therefore, the research on emotion recognition has attracted the attention of many scholars in the field of artificial intelligence in recent years. Brain electrical signal conversion becomes critical, and it needs a brain electrical signal processing method to ext

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Huang, Baoshan, Guojin Feng, Xiaoli Tang, et al. "A Performance Evaluation of Two Bispectrum Analysis Methods Applied to Electrical Current Signals for Monitoring Induction Motor-Driven Systems." Energies 12, no. 8 (2019): 1438. http://dx.doi.org/10.3390/en12081438.

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This paper investigates the performance of the conventional bispectrum (CB) method and its new variant, the modulation signal bispectrum (MSB) method, in analysing the electrical current signals of induction machines for the condition monitoring of rotor systems driven by electrical motors. Current signal models which include the phases of the various electrical and magnetic quantities are explained first to show the theoretical relationships of spectral sidebands and their associated phases due to rotor faults. It then discusses the inefficiency of CB and the proficiency of MSB in characteris

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Yuan, Yuan, Meng He, Yuan-Wen Zou, Zhong-Bing Huang, Jin-Chuan Li, and Xue-Jin Huang. "An Adjustable Electrical Stimulator for Cell Culture." Journal of Circuits, Systems and Computers 25, no. 11 (2016): 1650146. http://dx.doi.org/10.1142/s0218126616501462.

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Electrical stimulations can promote cell growth, but most electrical stimulators could only output either voltage signals or current signals and do not output arbitrary waveforms according to need. In this paper, a wireless stimulator with adjustable stimulation signals is developed for cell culture. The original waveforms are produced by signal generating circuits. Then under the adjustment of amplification circuits, the original waveforms are converted into current stimulation signals or voltage stimulation signals. Finally, stimulation signals apply onto cells under the monitor of current m

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Dobrzycki, Arkadiusz, Stanisław Mikulski, and Władysław Opydo. "Using ANN and SVM for the Detection of Acoustic Emission Signals Accompanying Epoxy Resin Electrical Treeing." Applied Sciences 9, no. 8 (2019): 1523. http://dx.doi.org/10.3390/app9081523.

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Electrical treeing is one of the effects of partial discharges in the solid insulation of high-voltage electrical insulating systems. The process involves the formation of conductive channels inside the dielectric. Acoustic emission (AE) is a method of partial discharge detection and measurement, which belongs to the group of non-destructive methods. If electrical treeing is detected, the measurement, recording, and analysis of signals, which accompany the phenomenon, become difficult due to the low signal-to-noise ratio and possible multiple signal reflections from the boundaries of the objec

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Kemper, Guillermo, Angel Oshita, Ricardo Parra, and Carlos Herrera. "An algorithm for obtaining the frequency and the times of respiratory phases from nasal and oral acoustic signals." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 358. http://dx.doi.org/10.11591/ijece.v13i1.pp358-373.

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<span lang="EN-US">This work proposes a computational algorithm which extracts the frequency, timings and signal segments corresponding to respiratory phases, through buccal and nasal acoustic signal processing. The proposal offers a computational solution for medical applications which require on-site or remote patient monitoring and evaluation of pulmonary pathologies, such as coronavirus disease 19 (COVID-19). The state of the art presents a few respiratory evaluation proposals through buccal and nasal acoustic signals. Most proposals focus on respiratory signals acquired by a medical

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Nicolae, Ileana-Diana V. D., Dusan Kostic, Petre-Marian T. Nicolae, and Paul P. Popescu. "Comparison of commercial and original methods for denoising electrical waveforms with constant or linearly variable magnitudes." ITM Web of Conferences 49 (2022): 01005. http://dx.doi.org/10.1051/itmconf/20224901005.

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Acquired electrical waveforms can be affected by white noise. The 1-st part of the paper analysis deals with the denoising of multi-period steady signals by using 3 methods: mean signal method, an original method relying on wavelet packet trees and the method implemented by the wavelet-based Matlab function wden. The signal length influence over the mean signal method’s accuracy is studied. The results yielded by the other 2 methods are also analyzed considering signals with 7 periods. Afterward the wavelet-based methods are used to denoise segments of 7 periods with linearly variable magnitud

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Yudina, Lyubov, Ekaterina Gromova, Marina Grinberg, Alyona Popova, Ekaterina Sukhova, and Vladimir Sukhov. "Influence of Burning-Induced Electrical Signals on Photosynthesis in Pea Can Be Modified by Soil Water Shortage." Plants 11, no. 4 (2022): 534. http://dx.doi.org/10.3390/plants11040534.

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Local damage to plants can induce fast systemic physiological changes through generation and propagation of electrical signals. It is known that electrical signals influence numerous physiological processes including photosynthesis; an increased plant tolerance to actions of stressors is a result of these changes. It is probable that parameters of electrical signals and fast physiological changes induced by these signals can be modified by the long-term actions of stressors; however, this question has been little investigated. Our work was devoted to the investigation of the parameters of burn

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Ming, Yan Wei, Tai Hong Cheng, Ke Huang, and Bi Li. "PZT Based Ultrasonic Wave Force Detecting Sensor." Applied Mechanics and Materials 511-512 (February 2014): 142–45. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.142.

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In the sensor system, the wave in the optical fibers conductivity will change when the surrounding medium is changed. Thus, minor changes according to the mechanical wave, optical fiber can be used to monitor changes in the surrounding environment. The working principle of the sensor system is the signal generator output signal transmitted to a piezoelectric ceramic. Because of the inverse piezoelectric effect of piezoelectric ceramics, conduction of the electrical signals can be converted to mechanical signals. The resulting mechanical wave transmitted to the other end of the piezoelectric ce

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Yang, Sung Min, María Eugenia Vilarchao, Lorena Rela, and Lidia Szczupak. "Wide propagation of graded signals in nonspiking neurons." Journal of Neurophysiology 109, no. 3 (2013): 711–20. http://dx.doi.org/10.1152/jn.00934.2012.

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Signal processing in neuritic trees is ruled by the concerted action of passive and active membrane properties that, together, determine the degree of electrical compartmentalization of these trees. We analyzed how active properties modulate spatial propagation of graded signals in a pair of nonspiking (NS) neurons of the leech. NS neurons present a very extensive neuritic tree that mediates the interaction with all the excitatory motoneurons in leech ganglia. NS cells express voltage-activated Ca2+ conductances (VACCs) that, under certain experimental conditions, evoke low-threshold spikes. W

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